베이즈 추정방식의 품질우수성지수 적용 방안에 관한 연구
A Study on the Bayes Estimation Application for Korean Standard-Quality Excellence Index(KS-QEI)
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초록
Purpose: The purpose of this study is to apply the Bayesian estimation methodology for producing ‘Korean Standard –Quality Excellence Index’ model and prove the effectiveness of the new approach based on survey data by comparing the current index with the new index produced by Bayesian estimation method. Methods: The ‘Korean Standard –Quality Excellence Index’ was produced through the collected survey data by Bayesian estimation method and comparing the deviation with two results for confirming the effectiveness of suggested application. Results: The statistical analysis result shows that suggested estimator, that is, empirical Bayes estimator improves the effectiveness of the index with regard to reduce the error under specific loss function, which is suggested for checking the goodness of fit. Conclusion: Considering the Bayesian techniques such as empirical Bayes estimator for producing the quality excellence index reduces the error for estimating the parameter of interest and furthermore various Bayesian perspective approaches seems to be meaningful for producing the corresponding index.
Abstract
Purpose: The purpose of this study is to apply the Bayesian estimation methodology for producing ‘Korean Standard –Quality Excellence Index’ model and prove the effectiveness of the new approach based on survey data by comparing the current index with the new index produced by Bayesian estimation method. Methods: The ‘Korean Standard –Quality Excellence Index’ was produced through the collected survey data by Bayesian estimation method and comparing the deviation with two results for confirming the effectiveness of suggested application. Results: The statistical analysis result shows that suggested estimator, that is, empirical Bayes estimator improves the effectiveness of the index with regard to reduce the error under specific loss function, which is suggested for checking the goodness of fit. Conclusion: Considering the Bayesian techniques such as empirical Bayes estimator for producing the quality excellence index reduces the error for estimating the parameter of interest and furthermore various Bayesian perspective approaches seems to be meaningful for producing the corresponding index.
참고문헌 (9)
- 조용준, "A Strategic Plan for Improving Customer Satisfaction in Auto Insurance", 한국데이터정보과학회지, 17(2), pp.355~366 (2006), 한국데이터정보과학회
- 최민영, "서비스 품질 일관성지수의 개발에 관한 연구", 서비스경영학회지, 8(3), pp.211~226 (2007), 한국서비스경영학회
- Efron, B., "Stein’s Estimation Rule and Its Competitors-An Empirical Bayes Approach", Journal of the American Statistical Association, 68, pp.117~130 (1973)
- Juran, Joseph. M, "The Quality Trilogy Quality Progress", pp.19~24 (1986)
- Kane, Victor E., "Process Capability Indices", Journal of Quality Technology, 18, pp.41~52 (1986)
- 김경미, "카노 모형을 고려한 고객 요구 속성의 중요도 선정", 품질경영학회지, 35(4), pp.38~51 (2007), 한국품질경영학회
- 김태규, "KS제품 품질우수성지수 모델 개선 방안에 관한 연구", 품질경영학회지, 41(3), pp.327~336 (2013), 한국품질경영학회[DOI]
- Lindley, D. V., "Discussion of Professor Stein’s Paper", Journal of the Royal Statistical Society Ser. B, 24, pp.265~296 (1962)
- 유춘번, "KS제품 품질우수성지수(KS-QEI)에 관한 연구", 품질경영학회지, 34(4), pp.1~12 (2006), 한국품질경영학회
